Related Publications

  • Minimizing Annotation Effort via Max-Volume Spectral Sampling, A. Quattoni and X.Carreras. EMNLP Findings 2021 (to appear). [pdf] [talk]

  • A comparison between CNNs and WFAs for Sequence Classification, A. Quattoni and X.Carreras. Workshop SustaiNLP, EMNLP 2020. [pdf] [talk]

  • Interpolated Spectral NGram Language Models, A. Quattoni and X.Carreras. ACL 2019. [pdf] [talk]

  • Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, J. Eisner, M. Galle, J. Heinz, A. Quattoni, G. Rabusseau. Workshop on Deep Learning and Formal Languages: Building Bridges, ACL 2019. [pdf]

  • A Maximum Matching Algorithm for Basis Selection in Spectral Learning, A. Quattoni, X. Carreras, M. Galle. AISTATS 2017. [pdf]

  • InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas, G. Ferrero, A. Primadhanty, A. Quattoni. EACL 2017. [pdf]

  • Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification, A. Primadhanty, X. Carreras, A. Quattoni. ACL 2015. [pdf]

  • Spectral Learning of Weighted Automata: A Forward-Backward Perspective, B. Balle, X. Carreras, F. Luque, A. Quattoni. MLJ 2014, Special Issue on Grammatical Inference. [pdf]

  • Spectral Regularization for Max-Margin Sequence Tagging, A. Quattoni, B. Balle, C. Carreras, A.Globerson. ICML 2014. [pdf]

  • Unsupervised Learning of Finite State Transducers, R. Bailly, X. Carreras, A. Quattoni. NIPS 2013. [pdf]

  • Unsupervised Spectral Learning of WCFG as Low-rankMatrix Completion, R. Bailly, X. Carreras, F. Luque, A. Quattoni. EMNLP 2013. [pdf]

  • Spectral Learning of Sequence Taggers over Continuos Sequences, A. Recasens, A. Quattoni. ECML 2013. [pdf]

  • Local Loss Optimization in Operator Models: A New Insight into Spectral Learning, B. Balle, A.Quattoni, X. Carreras. ICML 2012. [pdf]

  • Spectral Learning for Non-Deterministic Dependency Parsing, F. Luque, A. Quattoni, B. Balle, X. Carreras. EACL 2012, Best Paper Award. [pdf]

  • A Spectral Learning Algorithm for Finite State Transducers, B. Balle, A. Quattoni, X. Carreras. ECML 2011. [pdf]